Title:
Using Group Centrality to Reveal the Role of Disciplines

dc.contributor.author Jiang, Jiepu en_US
dc.contributor.author Ni, Chaoqun en_US
dc.contributor.author Sugimoto, Cassidy R. en_US
dc.contributor.corporatename University of Pittsburgh. School of Information Sciences en_US
dc.contributor.corporatename Indiana University. School of Library and Information Science en_US
dc.date.accessioned 2012-02-10T20:08:57Z
dc.date.available 2012-02-10T20:08:57Z
dc.date.issued 2011-09-17
dc.description Atlanta Conference on Science and Innovation Policy 2011 en_US
dc.description.abstract Three group centrality measures, degree, closeness, and betweenness, are utilized in this paper to explore the role of disciplines in two journal co-citation networks by using 677 journals from 40 disciplines categorized by Web of Knowledge. The result shows that social science disciplines play a more important role in knowledge communication and interaction among disciplines than science discipline. Some science disciplines, such as Computer Science have become more important in terms of the three centrality measures over time. The use of group centrality measures gives a different way of exploring role of disciplines in science mapping, and indicates that a comprehensive result can be obtained when all three of these measurements are utilized. en_US
dc.identifier.uri http://hdl.handle.net/1853/42558
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries ACSIP11. Structure en_US
dc.subject Disciplines
dc.subject Group centrality
dc.subject Science mapping
dc.subject Social network analysis
dc.title Using Group Centrality to Reveal the Role of Disciplines en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.author Sugimoto, Cassidy R.
local.contributor.corporatename Ivan Allen College of Liberal Arts
local.contributor.corporatename School of Public Policy
local.relation.ispartofseries Atlanta Conference on Science and Innovation Policy
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relation.isOrgUnitOfPublication a3789037-aec2-41bb-9888-1a95104b7f8c
relation.isSeriesOfPublication 8e93dc09-10dd-4fdd-8c5a-77defb1f7f78
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